Solutions by sector
The same technology, different solutions.
Xeretron is used by businesses of every size, vibe coders, independent creators, universities, institutions, and inventors—and everyone gets exactly the same quality.
Vibe coding, programming, and architecture
Code, architect, and deploy with AI that lives on your network: not a single line of your code leaves your infrastructure.
Context. Vibe coding in the cloud sounds fast, but every prompt sends your codebase, internal data, and technical decisions to third-party servers.
Problems. Your intellectual property leaks with every attempt, usage limits hit right in the critical sprint, and cost grows with every experiment.
How it helps. With a Xeretron node and our CodiiX IDE, you code, design architecture, and build agents with models you own: no per-token cost, no code exposure, and no reliance on third-party APIs.
Typical use cases
- Vibe coding on your own codebase, directly from CodiiX.
- Software architecture design and review of technical decisions.
- Internal agents for operational workflows and automation.
- Unlimited experimentation: try models and quantizations with no variable cost.
Limits. Generated code quality depends on the installed model and quantization; final technical judgment always rests with the team.
Design a programming nodeEducation
AI that strengthens the institution—not one that extracts its knowledge.
Context. Schools and educational institutions want to use AI without exposing student, teacher, and family information—and without depending on tools that change the rules every quarter.
Problems. Lengthy regulations nobody reads, classes that go undocumented, teachers with no time to prepare materials, and families asking the same question to the same staff member again and again.
How it helps. A node on campus answers from institutional documents, transcribes classes and meetings, and prepares materials—without content leaving the internal network.
Typical use cases
- Academic assistant over your own materials and content.
- Regulation and protocol lookup with article citations.
- Transcription of classes, academic councils, and meetings.
- Support for teachers in planning and rubrics.
- Accessibility: audio from text and summaries.
Limits. AI does not replace pedagogical judgment or teacher evaluation. Any use with minors requires institutional policy and adult supervision.
Design an institutional AI labTypical use cases
- Experimentation with Xeretron-owned models and different quantizations.
- Building applications with no variable cost per test.
- Research datasets that stay on campus.
- Talent development on real infrastructure—not simulated.
- Publishing internal APIs for groups and research seedbeds.
Limits. Capacity depends on installed hardware and concurrency; benchmark results are specific to each node.
Talk to the teamUniversities and research
The AI lab that isn't billed per attempt.
Context. Researching with cloud AI means cost per experiment and data leaving campus with every test.
Problems. Budgets drained by tests, sensitive study data under foreign jurisdictions, and students who learn about APIs but never about infrastructure.
How it helps. A node on campus offers Xeretron-owned models, shared memory, and internal APIs so groups, seedbeds, and faculties can experiment without accounting friction.
Healthcare
AI close to the teams that care for people.
Context. Healthcare organizations handle the most sensitive information there is and strict regulatory frameworks about where it may be processed.
Problems. Documentary admin load, note transcription, handwritten reports, and well-founded fear of sending patient data to external services.
How it helps. Administrative and documentary use cases inside the institutional network: summaries of non-clinical documents, transcription, internal knowledge organization, and support for paperwork.
Typical use cases
- Internal documentary and organizational processing.
- Transcription of committee meetings and training sessions.
- Queries on internal administrative protocols.
- Support drafting management reports.
Required notice. Xeretron does not replace medical judgment and is not, by itself, a medical device. Any clinical use requires validation, professional supervision, and compliance with applicable regulations—which we do not claim automatically.
Evaluate an administrative use caseTypical use cases
- Document agents to speed internal processes and paperwork.
- In-depth analysis of specific cases with full traceability.
- Internal agents for operational workflows and citizen response.
- Lookup of regulations, administrative acts, and internal protocols.
Limits. We do not claim automatic legal compliance: each entity must verify its regulatory framework. Sovereignty does not mean isolation: hybrid operation is possible.
Talk with the teamGovernment
Document agents, case analysis, and citizen service that run inside your institutional network.
Context. Public entities handle case files, regulations, and sensitive citizen data. Every query to an external service exposes information that should stay in your jurisdiction.
Problems. Slow internal processes due to document load, case analysis that depends on external vendors, citizen service without immediate response capacity, and no in-house technical knowledge of contracted tools.
How it helps. Document agents that speed internal paperwork, in-depth analysis of specific cases with traceability, internal agents for operational workflows and citizen service—all on your own auditable node inside the institutional network. No tokens, no data outside your jurisdiction.
People and teams
Your private AI, on your own machine.
You don't need to be a company to have your own artificial intelligence. With the Personal plan you can install Xeretron on your PC or personal server: an assistant that writes with you, studies your documents, transcribes, and generates audio—no tokens, no usage fees, and no data leaving your machine.
- Personal assistant for writing, study, and code.
- Local documentation: your PDFs and notes, without uploading them to the cloud.
- Up to 3 users per installation—ideal for home or a small team.
- When you grow, the same node scales to Starter or Business.
To get started
Plan Personal · $599 USD for a limited time + $299/year
Regular price: $1.299 USD
- 1 GPU · up to 3 models
- Guided installation on your machine
- No tokens or usage limits
Business
Operational continuity, predictable cost, and knowledge that doesn't walk out with a vendor.
Context. Many SMBs already use AI day to day—but scattered across individual accounts with no control over what's shared.
Problems. Bills that grow with usage, critical knowledge locked in third-party tools, and price or terms changes that force a midstream migration.
How it helps. Internal assistants, documents, automation, voice, and prototyping on installed capacity the company governs and amortizes.
Typical use cases
- Internal assistant over manuals, policies, and contracts.
- Document processing and data extraction.
- API automation for existing systems.
- Voice: meeting transcription and audio generation.
- AI product prototyping with no per-token cost.
Limits. Savings versus the cloud aren't guaranteed: they depend on real volume and are calculated case by case during evaluation.
Calculate my scenarioTypical use cases
- Product validation with AI on your own hardware.
- Comparing models and quantizations on the same node.
- Internal APIs for applications in development.
- Demos and pilots for clients with sensitive data.
Limits. The Personal plan prioritizes flexibility: it needs a technical owner comfortable operating the node at home.
Apply to the partner programEntrepreneurs and labs
Prototype with your own AI—without every experiment billed per token.
Context. Building a product on paid AI services means every test has a cost and every demo depends on a credit card.
Problems. Margins tied to third-party pricing, usage limits at the worst moment, and clients asking for privacy before they sign.
How it helps. A flexible node with maximum freedom of models and profiles—and something you can show clients as proof of technical seriousness.
Don't see your sector? It probably still applies.
If your organization handles information you'd rather not send outside and uses AI steadily, it's worth a conversation.